Miriam Hägele - Machine Learning Grp, Tech Univ Berlin

基本信息

浏览量：0

职业迁徙

个人简介

暂无内容

研究兴趣

论文共 12 篇作者统计合作学者相似作者

按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选

Leveraging Weak Complementary Labels Enhances Semantic Segmentation of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma

Miriam Hägele,Johannes Eschrich,Lukas Ruff,Maximilian Alber,Simon Schallenberg,Adrien Guillot,Christoph Roderburg,Frank Tacke,Frederick Klauschen

Scientific Reportsno. 1 (2024): 1-13

引用0浏览0WOSNATUREEI引用

DiffInfinite: Large Mask-Image Synthesis Via Parallel Random Patch Diffusion in Histopathology

Marco Aversa,Gabriel Nobis,Miriam Haegele,Kai Standvoss,Mihaela Chirica,Roderick Murray-Smith, Ahmed Alaa,Lukas Ruff,Daniela Ivanova,Wojciech Samek,Frederick Klauschen,Bruno Sanguinetti,Luis Oala

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023) (2023)

引用0浏览0引用

AI-based Testicular Staging in Dogs from Nonclinical Toxicity Studies

Leonie Herkommer, Maximilian Gottschalk,Miriam Haegele, Katja Lingelbach,Yumi Kangawa, Stefanie Arms, Cornelius Boehm,Sharon Ruane,Maximilian Alber,Gabriele Pohlmeyer-Esch

TOXICOLOGIC PATHOLOGYno. 7-8 (2023): 495-495

引用0浏览0引用

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

Marco Aversa,Gabriel Nobis,Miriam Hägele,Kai Standvoss,Mihaela Chirica,Roderick Murray-Smith,Ahmed Alaa,Lukas Ruff,Daniela Ivanova,Wojciech Samek,Frederick Klauschen,Bruno Sanguinetti,Luis Oala

NeurIPS (2023)

引用0浏览0EI引用

Morphological and Molecular Breast Cancer Profiling Through Explainable Machine Learning

Alexander Binder,Michael Bockmayr,Miriam Hägele,Stephan Wienert,Daniel Heim,Katharina Hellweg,Masaru Ishii,Albrecht Stenzinger,Andreas Hocke,Carsten Denkert,Klaus-Robert Müller,Frederick Klauschen

Nature Machine Intelligence（2021）

引用71浏览0EIWOSNATURE引用

Resolving Challenges in Deep Learning-Based Analyses of Histopathological Images Using Explanation Methods

Miriam Hägele,Philipp Seegerer,Sebastian Lapuschkin,Michael Bockmayr,Wojciech Samek,Frederick Klauschen,Klaus-Robert Müller,Alexander Binder

Scientific reports（2020）

引用89浏览0WOSEINATURE引用

Innvestigate Neural Networks

Maximilian Alber,Sebastian Lapuschkin,Philipp Seegerer,Miriam Haegele,Kristof T. Schuett,Gregoire Montavon,Wojciech Samek, Klaus-Robert Mueller,Sven Daehne,Pieter-Jan Kindermans

arXiv (Cornell University)（2019）

引用434浏览0EI引用

434

How to iNNvestigate neural network’s predictions

Maximilian Alber,Sebastian Lapuschkin,Philipp Seegerer,Miriam Hägele,Kristof T. Schütt,Grégoire Montavon,Wojciech Samek,Klaus-Robert Müller,Sven Dähne,Pieter-Jan Kindermans

semanticscholar（2018）

引用0浏览0引用

Scoring of Tumor-Infiltrating Lymphocytes: from Visual Estimation to Machine Learning

F. Klauschen,K.-R. Müller,A. Binder,M. Bockmayr,M. Hägele,P. Seegerer,S. Wienert,G. Pruneri, S. de Maria,S. Badve,S. Michiels,T.O. Nielsen,S. Adams,P. Savas,F. Symmans,S. Willis,T. Gruosso, M. Park, B. Haibe-Kains,B. Gallas

Seminars in Cancer Biology（2018）

引用118浏览0引用

118

加载更多

作者统计

合作学者

合作机构

D-Core

合作者
学生
导师

暂无相似学者，你可以通过学者研究领域进行搜索筛选

数据免责声明

页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果，我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问，可以通过电子邮件方式联系我们：report@aminer.cn